Submit Search
Upload
DBMS_intermediate sql
âą
Download as PPT, PDF
âą
1 like
âą
229 views
A
Azizul Mamun
Follow
intermediate sql
Read less
Read more
Engineering
Slideshow view
Report
Share
Slideshow view
Report
Share
1 of 52
Download now
Recommended
DBMS_Ch1
DBMS_Ch1
Azizul Mamun
Â
DBMS_INTRODUCTION OF SQL
DBMS_INTRODUCTION OF SQL
Azizul Mamun
Â
DBMS _Relational model
DBMS _Relational model
Azizul Mamun
Â
Ch3
Ch3
Vivek Kumar
Â
Ch3
Ch3
Deny Fauzy
Â
Relational database concept
Relational database concept
fikirabc
Â
Dbms ii mca-ch7-sql-2013
Dbms ii mca-ch7-sql-2013
Prosanta Ghosh
Â
Ch3 a
Ch3 a
Welly Dian Astika
Â
Recommended
DBMS_Ch1
DBMS_Ch1
Azizul Mamun
Â
DBMS_INTRODUCTION OF SQL
DBMS_INTRODUCTION OF SQL
Azizul Mamun
Â
DBMS _Relational model
DBMS _Relational model
Azizul Mamun
Â
Ch3
Ch3
Vivek Kumar
Â
Ch3
Ch3
Deny Fauzy
Â
Relational database concept
Relational database concept
fikirabc
Â
Dbms ii mca-ch7-sql-2013
Dbms ii mca-ch7-sql-2013
Prosanta Ghosh
Â
Ch3 a
Ch3 a
Welly Dian Astika
Â
Ch3
Ch3
Welly Dian Astika
Â
ch3
ch3
KITE www.kitecolleges.com
Â
Dbms ii mca-ch3-er-model-2013
Dbms ii mca-ch3-er-model-2013
Prosanta Ghosh
Â
Ch3
Ch3
Ivan Krstic
Â
Dbms ii mca-ch8-db design-2013
Dbms ii mca-ch8-db design-2013
Prosanta Ghosh
Â
Dbms ii mca-ch4-relational model-2013
Dbms ii mca-ch4-relational model-2013
Prosanta Ghosh
Â
Ch4
Ch4
Welly Dian Astika
Â
Sql ppt
Sql ppt
Prof. Dr. K. Adisesha
Â
COMPUTERS Database
COMPUTERS Database
Rc Os
Â
check 11
check 11
Architha Ch
Â
Towards a New Data Modelling Architecture - Part 1
Towards a New Data Modelling Architecture - Part 1
JEAN-MICHEL LETENNIER
Â
Database Programming using SQL
Database Programming using SQL
Ajit Nayak
Â
Introduction to database-Formal Query language and Relational calculus
Introduction to database-Formal Query language and Relational calculus
Ajit Nayak
Â
Ch3
Ch3
balbeerrawat
Â
SQL
SQL
Bhandari Nawaraj
Â
Normalization
Normalization
momo2187
Â
The Relational Data Model and Relational Database Constraints Ch5 (Navathe 4t...
The Relational Data Model and Relational Database Constraints Ch5 (Navathe 4t...
Raj vardhan
Â
AtomiDB Dr Ashis Banerjee reviews
AtomiDB Dr Ashis Banerjee reviews
JEAN-MICHEL LETENNIER
Â
1. Fundamental Concept - Data Structures using C++ by Varsha Patil
1. Fundamental Concept - Data Structures using C++ by Varsha Patil
widespreadpromotion
Â
ch4 (1).pptx
ch4 (1).pptx
ssuser065ae6
Â
Ch 4.pdf
Ch 4.pdf
MuhammadAsif1069
Â
Database System Concepts ch4.pdf
Database System Concepts ch4.pdf
UsamaAlZayan
Â
More Related Content
What's hot
Ch3
Ch3
Welly Dian Astika
Â
ch3
ch3
KITE www.kitecolleges.com
Â
Dbms ii mca-ch3-er-model-2013
Dbms ii mca-ch3-er-model-2013
Prosanta Ghosh
Â
Ch3
Ch3
Ivan Krstic
Â
Dbms ii mca-ch8-db design-2013
Dbms ii mca-ch8-db design-2013
Prosanta Ghosh
Â
Dbms ii mca-ch4-relational model-2013
Dbms ii mca-ch4-relational model-2013
Prosanta Ghosh
Â
Ch4
Ch4
Welly Dian Astika
Â
Sql ppt
Sql ppt
Prof. Dr. K. Adisesha
Â
COMPUTERS Database
COMPUTERS Database
Rc Os
Â
check 11
check 11
Architha Ch
Â
Towards a New Data Modelling Architecture - Part 1
Towards a New Data Modelling Architecture - Part 1
JEAN-MICHEL LETENNIER
Â
Database Programming using SQL
Database Programming using SQL
Ajit Nayak
Â
Introduction to database-Formal Query language and Relational calculus
Introduction to database-Formal Query language and Relational calculus
Ajit Nayak
Â
Ch3
Ch3
balbeerrawat
Â
SQL
SQL
Bhandari Nawaraj
Â
Normalization
Normalization
momo2187
Â
The Relational Data Model and Relational Database Constraints Ch5 (Navathe 4t...
The Relational Data Model and Relational Database Constraints Ch5 (Navathe 4t...
Raj vardhan
Â
AtomiDB Dr Ashis Banerjee reviews
AtomiDB Dr Ashis Banerjee reviews
JEAN-MICHEL LETENNIER
Â
1. Fundamental Concept - Data Structures using C++ by Varsha Patil
1. Fundamental Concept - Data Structures using C++ by Varsha Patil
widespreadpromotion
Â
What's hot
(19)
Ch3
Ch3
Â
ch3
ch3
Â
Dbms ii mca-ch3-er-model-2013
Dbms ii mca-ch3-er-model-2013
Â
Ch3
Ch3
Â
Dbms ii mca-ch8-db design-2013
Dbms ii mca-ch8-db design-2013
Â
Dbms ii mca-ch4-relational model-2013
Dbms ii mca-ch4-relational model-2013
Â
Ch4
Ch4
Â
Sql ppt
Sql ppt
Â
COMPUTERS Database
COMPUTERS Database
Â
check 11
check 11
Â
Towards a New Data Modelling Architecture - Part 1
Towards a New Data Modelling Architecture - Part 1
Â
Database Programming using SQL
Database Programming using SQL
Â
Introduction to database-Formal Query language and Relational calculus
Introduction to database-Formal Query language and Relational calculus
Â
Ch3
Ch3
Â
SQL
SQL
Â
Normalization
Normalization
Â
The Relational Data Model and Relational Database Constraints Ch5 (Navathe 4t...
The Relational Data Model and Relational Database Constraints Ch5 (Navathe 4t...
Â
AtomiDB Dr Ashis Banerjee reviews
AtomiDB Dr Ashis Banerjee reviews
Â
1. Fundamental Concept - Data Structures using C++ by Varsha Patil
1. Fundamental Concept - Data Structures using C++ by Varsha Patil
Â
Similar to DBMS_intermediate sql
ch4 (1).pptx
ch4 (1).pptx
ssuser065ae6
Â
Ch 4.pdf
Ch 4.pdf
MuhammadAsif1069
Â
Database System Concepts ch4.pdf
Database System Concepts ch4.pdf
UsamaAlZayan
Â
Er model
Er model
slidenageswaran
Â
SQL3.pdf
SQL3.pdf
ssuser6101e9
Â
ER Model Ppt.ppt
ER Model Ppt.ppt
DivyaRasrogi
Â
ch7.ppt ER Model lecture 102 slides set in ppt
ch7.ppt ER Model lecture 102 slides set in ppt
Ferdazdemir
Â
DBMS-UNIT 3-part1.ppt
DBMS-UNIT 3-part1.ppt
IshuIswarya3
Â
ch6.pptx
ch6.pptx
BUVANESWARIMOHANRAM
Â
Database Design E-R Model.pdf
Database Design E-R Model.pdf
AbithaSam
Â
Intro to Relational Model
Intro to Relational Model
HazemWaheeb1
Â
RDBMS, theory class - 1 (UIU CSI 221)
RDBMS, theory class - 1 (UIU CSI 221)
Muhammad T Q Nafis
Â
Database System Concepts, 6th Ed.©Silberschatz, Korth and .docx
Database System Concepts, 6th Ed.©Silberschatz, Korth and .docx
randyburney60861
Â
ch6.ppt
ch6.ppt
InduVerma40
Â
ch3.ppt
ch3.ppt
Ashwini Rao
Â
Lecture_W9_Normalization.ppt
Lecture_W9_Normalization.ppt
SadiaArifinSmrity
Â
ch3.ppt
ch3.ppt
rahulnadola3
Â
Introduction to SQL
Introduction to SQL
DHAAROUN
Â
ch3.ppt
ch3.ppt
poovathi nps
Â
ch3.ppt
ch3.ppt
pradnyamulay
Â
Similar to DBMS_intermediate sql
(20)
ch4 (1).pptx
ch4 (1).pptx
Â
Ch 4.pdf
Ch 4.pdf
Â
Database System Concepts ch4.pdf
Database System Concepts ch4.pdf
Â
Er model
Er model
Â
SQL3.pdf
SQL3.pdf
Â
ER Model Ppt.ppt
ER Model Ppt.ppt
Â
ch7.ppt ER Model lecture 102 slides set in ppt
ch7.ppt ER Model lecture 102 slides set in ppt
Â
DBMS-UNIT 3-part1.ppt
DBMS-UNIT 3-part1.ppt
Â
ch6.pptx
ch6.pptx
Â
Database Design E-R Model.pdf
Database Design E-R Model.pdf
Â
Intro to Relational Model
Intro to Relational Model
Â
RDBMS, theory class - 1 (UIU CSI 221)
RDBMS, theory class - 1 (UIU CSI 221)
Â
Database System Concepts, 6th Ed.©Silberschatz, Korth and .docx
Database System Concepts, 6th Ed.©Silberschatz, Korth and .docx
Â
ch6.ppt
ch6.ppt
Â
ch3.ppt
ch3.ppt
Â
Lecture_W9_Normalization.ppt
Lecture_W9_Normalization.ppt
Â
ch3.ppt
ch3.ppt
Â
Introduction to SQL
Introduction to SQL
Â
ch3.ppt
ch3.ppt
Â
ch3.ppt
ch3.ppt
Â
Recently uploaded
Analog to Digital and Digital to Analog Converter
Analog to Digital and Digital to Analog Converter
AbhinavSharma374939
Â
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
null - The Open Security Community
Â
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
ranjana rawat
Â
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
KurinjimalarL3
Â
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
9953056974 Low Rate Call Girls In Saket, Delhi NCR
Â
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptx
DeepakSakkari2
Â
Model Call Girl in Narela Delhi reach out to us at đ8264348440đ
Model Call Girl in Narela Delhi reach out to us at đ8264348440đ
soniya singh
Â
Internship report on mechanical engineering
Internship report on mechanical engineering
malavadedarshan25
Â
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
Â
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Suman Mia
Â
â CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
â CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
9953056974 Low Rate Call Girls In Saket, Delhi NCR
Â
High Profile Call Girls Nashik Megha 7001305949 Independent Escort Service Na...
High Profile Call Girls Nashik Megha 7001305949 Independent Escort Service Na...
Call Girls in Nagpur High Profile
Â
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
Suhani Kapoor
Â
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
ssuser5c9d4b1
Â
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Dr.Costas Sachpazis
Â
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Dr.Costas Sachpazis
Â
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
JoĂŁo Esperancinha
Â
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
SIVASHANKAR N
Â
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
ranjana rawat
Â
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
ranjana rawat
Â
Recently uploaded
(20)
Analog to Digital and Digital to Analog Converter
Analog to Digital and Digital to Analog Converter
Â
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Â
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
Â
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
Â
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Â
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptx
Â
Model Call Girl in Narela Delhi reach out to us at đ8264348440đ
Model Call Girl in Narela Delhi reach out to us at đ8264348440đ
Â
Internship report on mechanical engineering
Internship report on mechanical engineering
Â
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Â
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Â
â CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
â CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
Â
High Profile Call Girls Nashik Megha 7001305949 Independent Escort Service Na...
High Profile Call Girls Nashik Megha 7001305949 Independent Escort Service Na...
Â
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
Â
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
Â
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Â
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Â
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Â
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
Â
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
Â
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
Â
DBMS_intermediate sql
1.
Database System Concepts,
6th Ed. ©Silberschatz, Korth and Sudarshan See www.db-book.com for conditions on re-use Chapter 4: Intermediate SQLChapter 4: Intermediate SQL
2.
©Silberschatz, Korth and
Sudarshan4.2Database System Concepts - 6th Edition Chapter 4: Intermediate SQLChapter 4: Intermediate SQL Join Expressions Views Transactions Integrity Constraints SQL Data Types and Schemas Authorization
3.
©Silberschatz, Korth and
Sudarshan4.3Database System Concepts - 6th Edition Joined RelationsJoined Relations Join operations take two relations and return as a result another relation. A join operation is a Cartesian product which requires that tuples in the two relations match (under some condition). It also specifies the attributes that are present in the result of the join The join operations are typically used as subquery expressions in the from clause
4.
©Silberschatz, Korth and
Sudarshan4.4Database System Concepts - 6th Edition Join operations â ExampleJoin operations â Example Relation course Relation prereq Observe that prereq information is missing for CS-315 and course information is missing for CS-437
5.
©Silberschatz, Korth and
Sudarshan4.5Database System Concepts - 6th Edition Outer JoinOuter Join An extension of the join operation that avoids loss of information. Computes the join and then adds tuples form one relation that does not match tuples in the other relation to the result of the join. Uses null values.
6.
©Silberschatz, Korth and
Sudarshan4.6Database System Concepts - 6th Edition Left Outer JoinLeft Outer Join course natural left outer join prereq
7.
©Silberschatz, Korth and
Sudarshan4.7Database System Concepts - 6th Edition Right Outer JoinRight Outer Join course natural right outer join prereq
8.
©Silberschatz, Korth and
Sudarshan4.8Database System Concepts - 6th Edition Joined RelationsJoined Relations Join operations take two relations and return as a result another relation. These additional operations are typically used as subquery expressions in the from clause Join condition â defines which tuples in the two relations match, and what attributes are present in the result of the join. Join type â defines how tuples in each relation that do not match any tuple in the other relation (based on the join condition) are treated.
9.
©Silberschatz, Korth and
Sudarshan4.9Database System Concepts - 6th Edition Full Outer JoinFull Outer Join course natural full outer join prereq
10.
©Silberschatz, Korth and
Sudarshan4.10Database System Concepts - 6th Edition Joined Relations â ExamplesJoined Relations â Examples course inner join prereq on course.course_id = prereq.course_id What is the difference between the above, and a natural join? course left outer join prereq on course.course_id = prereq.course_id
11.
©Silberschatz, Korth and
Sudarshan4.11Database System Concepts - 6th Edition Joined Relations â ExamplesJoined Relations â Examples course natural right outer join prereq course full outer join prereq using (course_id)
12.
©Silberschatz, Korth and
Sudarshan4.12Database System Concepts - 6th Edition ViewsViews In some cases, it is not desirable for all users to see the entire logical model (that is, all the actual relations stored in the database.) Consider a person who needs to know an instructors name and department, but not the salary. This person should see a relation described, in SQL, by select ID, name, dept_name from instructor A view provides a mechanism to hide certain data from the view of certain users. Any relation that is not of the conceptual model but is made visible to a user as a âvirtual relationâ is called a view.
13.
©Silberschatz, Korth and
Sudarshan4.13Database System Concepts - 6th Edition View DefinitionView Definition A view is defined using the create view statement which has the form create view v as < query expression > where <query expression> is any legal SQL expression. The view name is represented by v. Once a view is defined, the view name can be used to refer to the virtual relation that the view generates. View definition is not the same as creating a new relation by evaluating the query expression Rather, a view definition causes the saving of an expression; the expression is substituted into queries using the view.
14.
©Silberschatz, Korth and
Sudarshan4.14Database System Concepts - 6th Edition Example ViewsExample Views A view of instructors without their salary create view faculty as select ID, name, dept_name from instructor Find all instructors in the Biology department select name from faculty where dept_name = âBiologyâ Create a view of department salary totals create view departments_total_salary(dept_name, total_salary) as select dept_name, sum (salary) from instructor group by dept_name;
15.
©Silberschatz, Korth and
Sudarshan4.15Database System Concepts - 6th Edition Views Defined Using Other ViewsViews Defined Using Other Views create view physics_fall_2009 as select course.course_id, sec_id, building, room_number from course, section where course.course_id = section.course_id and course.dept_name = âPhysicsâ and section.semester = âFallâ and section.year = â2009â; create view physics_fall_2009_watson as select course_id, room_number from physics_fall_2009 where building= âWatsonâ;
16.
©Silberschatz, Korth and
Sudarshan4.16Database System Concepts - 6th Edition View ExpansionView Expansion Expand use of a view in a query/another view create view physics_fall_2009_watson as (select course_id, room_number from (select course.course_id, building, room_number from course, section where course.course_id = section.course_id and course.dept_name = âPhysicsâ and section.semester = âFallâ and section.year = â2009â) where building= âWatsonâ;
17.
©Silberschatz, Korth and
Sudarshan4.17Database System Concepts - 6th Edition Views Defined Using Other ViewsViews Defined Using Other Views One view may be used in the expression defining another view A view relation v1 is said to depend directly on a view relation v2 if v2 is used in the expression defining v1 A view relation v1 is said to depend on view relation v2 if either v1 depends directly to v2 or there is a path of dependencies from v1 to v2 A view relation v is said to be recursive if it depends on itself.
18.
©Silberschatz, Korth and
Sudarshan4.18Database System Concepts - 6th Edition View ExpansionView Expansion A way to define the meaning of views defined in terms of other views. Let view v1 be defined by an expression e1 that may itself contain uses of view relations. View expansion of an expression repeats the following replacement step: repeat Find any view relation vi in e1 Replace the view relation vi by the expression defining vi until no more view relations are present in e1 As long as the view definitions are not recursive, this loop will terminate
19.
©Silberschatz, Korth and
Sudarshan4.19Database System Concepts - 6th Edition Update of a ViewUpdate of a View Add a new tuple to faculty view which we defined earlier insert into faculty values (â30765â, âGreenâ, âMusicâ); This insertion must be represented by the insertion of the tuple (â30765â, âGreenâ, âMusicâ, null) into the instructor relation
20.
©Silberschatz, Korth and
Sudarshan4.20Database System Concepts - 6th Edition Some Updates cannot be TranslatedSome Updates cannot be Translated UniquelyUniquely create view instructor_info as select ID, name, building from instructor, department where instructor.dept_name= department.dept_name; insert into instructor_info values (â69987â, âWhiteâ, âTaylorâ); ïŽ which department, if multiple departments in Taylor? ïŽ what if no department is in Taylor? Most SQL implementations allow updates only on simple views The from clause has only one database relation. The select clause contains only attribute names of the relation, and does not have any expressions, aggregates, or distinct specification. Any attribute not listed in the select clause can be set to null The query does not have a group by or having clause.
21.
©Silberschatz, Korth and
Sudarshan4.21Database System Concepts - 6th Edition And Some Not at AllAnd Some Not at All create view history_instructors as select * from instructor where dept_name= âHistoryâ; What happens if we insert (â25566â, âBrownâ, âBiologyâ, 100000) into history_instructors?
22.
©Silberschatz, Korth and
Sudarshan4.22Database System Concepts - 6th Edition Materialized Views Materializing a view: create a physical table containing all the tuples in the result of the query defining the view If relations used in the query are updated, the materialized view result becomes out of date Need to maintain the view, by updating the view whenever the underlying relations are updated.
23.
©Silberschatz, Korth and
Sudarshan4.23Database System Concepts - 6th Edition Transactions Unit of work Atomic transaction either fully executed or rolled back as if it never occurred Isolation from concurrent transactions Transactions begin implicitly Ended by commit work or rollback work But default on most databases: each SQL statement commits automatically Can turn off auto commit for a session (e.g. using API) In SQL:1999, can use: begin atomic âŠ. end ïŽ Not supported on most databases
24.
©Silberschatz, Korth and
Sudarshan4.24Database System Concepts - 6th Edition Integrity ConstraintsIntegrity Constraints Integrity constraints guard against accidental damage to the database, by ensuring that authorized changes to the database do not result in a loss of data consistency. A checking account must have a balance greater than $10,000.00 A salary of a bank employee must be at least $4.00 an hour A customer must have a (non-null) phone number
25.
©Silberschatz, Korth and
Sudarshan4.25Database System Concepts - 6th Edition Integrity Constraints on a Single RelationIntegrity Constraints on a Single Relation not null primary key unique check (P), where P is a predicate
26.
©Silberschatz, Korth and
Sudarshan4.26Database System Concepts - 6th Edition Not Null and Unique ConstraintsNot Null and Unique Constraints not null Declare name and budget to be not null name varchar(20) not null budget numeric(12,2) not null unique ( A1, A2, âŠ, Am) The unique specification states that the attributes A1, A2, ⊠Am form a candidate key. Candidate keys are permitted to be null (in contrast to primary keys).
27.
©Silberschatz, Korth and
Sudarshan4.27Database System Concepts - 6th Edition The check clauseThe check clause check (P) where P is a predicate Example: ensure that semester is one of fall, winter, spring or summer: create table section ( course_id varchar (8), sec_id varchar (8), semester varchar (6), year numeric (4,0), building varchar (15), room_number varchar (7), time slot id varchar (4), primary key (course_id, sec_id, semester, year), check (semester in (âFallâ, âWinterâ, âSpringâ, âSummerâ)) );
28.
©Silberschatz, Korth and
Sudarshan4.28Database System Concepts - 6th Edition Referential IntegrityReferential Integrity Ensures that a value that appears in one relation for a given set of attributes also appears for a certain set of attributes in another relation. Example: If âBiologyâ is a department name appearing in one of the tuples in the instructor relation, then there exists a tuple in the department relation for âBiologyâ. Let A be a set of attributes. Let R and S be two relations that contain attributes A and where A is the primary key of S. A is said to be a foreign key of R if for any values of A appearing in R these values also appear in S.
29.
©Silberschatz, Korth and
Sudarshan4.29Database System Concepts - 6th Edition Cascading Actions in Referential IntegrityCascading Actions in Referential Integrity create table course ( course_id char(5) primary key, title varchar(20), dept_name varchar(20) references department ) create table course ( ⊠dept_name varchar(20), foreign key (dept_name) references department on delete cascade on update cascade, . . . ) alternative actions to cascade: set null, set default
30.
©Silberschatz, Korth and
Sudarshan4.30Database System Concepts - 6th Edition Integrity Constraint Violation DuringIntegrity Constraint Violation During TransactionsTransactions E.g. create table person ( ID char(10), name char(40), mother char(10), father char(10), primary key ID, foreign key father references person, foreign key mother references person) How to insert a tuple without causing constraint violation ? insert father and mother of a person before inserting person OR, set father and mother to null initially, update after inserting all persons (not possible if father and mother attributes declared to be not null) OR defer constraint checking (next slide)
31.
©Silberschatz, Korth and
Sudarshan4.31Database System Concepts - 6th Edition Complex Check ClausesComplex Check Clauses check (time_slot_id in (select time_slot_id from time_slot)) why not use a foreign key here? Every section has at least one instructor teaching the section. how to write this? Unfortunately: subquery in check clause not supported by pretty much any database Alternative: triggers (later) create assertion <assertion-name> check <predicate>; Also not supported by anyone
32.
©Silberschatz, Korth and
Sudarshan4.32Database System Concepts - 6th Edition Built-in Data Types in SQLBuilt-in Data Types in SQL date: Dates, containing a (4 digit) year, month and date Example: date â2005-7-27â time: Time of day, in hours, minutes and seconds. Example: time â09:00:30â time â09:00:30.75â timestamp: date plus time of day Example: timestamp â2005-7-27 09:00:30.75â interval: period of time Example: interval â1â day Subtracting a date/time/timestamp value from another gives an interval value Interval values can be added to date/time/timestamp values
33.
©Silberschatz, Korth and
Sudarshan4.33Database System Concepts - 6th Edition Index CreationIndex Creation create table student (ID varchar (5), name varchar (20) not null, dept_name varchar (20), tot_cred numeric (3,0) default 0, primary key (ID)) create index studentID_index on student(ID) Indices are data structures used to speed up access to records with specified values for index attributes e.g. select * from student where ID = â12345â can be executed by using the index to find the required record, without looking at all records of student More on indices in Chapter 11
34.
©Silberschatz, Korth and
Sudarshan4.34Database System Concepts - 6th Edition User-Defined TypesUser-Defined Types create type construct in SQL creates user-defined type create type Dollars as numeric (12,2) final create table department (dept_name varchar (20), building varchar (15), budget Dollars);
35.
©Silberschatz, Korth and
Sudarshan4.35Database System Concepts - 6th Edition DomainsDomains create domain construct in SQL-92 creates user-defined domain types create domain person_name char(20) not null Types and domains are similar. Domains can have constraints, such as not null, specified on them. create domain degree_level varchar(10) constraint degree_level_test check (value in (âBachelorsâ, âMastersâ, âDoctorateâ));
36.
©Silberschatz, Korth and
Sudarshan4.36Database System Concepts - 6th Edition Large-Object TypesLarge-Object Types Large objects (photos, videos, CAD files, etc.) are stored as a large object: blob: binary large object -- object is a large collection of uninterpreted binary data (whose interpretation is left to an application outside of the database system) clob: character large object -- object is a large collection of character data When a query returns a large object, a pointer is returned rather than the large object itself.
37.
©Silberschatz, Korth and
Sudarshan4.37Database System Concepts - 6th Edition AuthorizationAuthorization Forms of authorization on parts of the database: Read - allows reading, but not modification of data. Insert - allows insertion of new data, but not modification of existing data. Update - allows modification, but not deletion of data. Delete - allows deletion of data. Forms of authorization to modify the database schema Index - allows creation and deletion of indices. Resources - allows creation of new relations. Alteration - allows addition or deletion of attributes in a relation. Drop - allows deletion of relations.
38.
©Silberschatz, Korth and
Sudarshan4.38Database System Concepts - 6th Edition Authorization Specification in SQLAuthorization Specification in SQL The grant statement is used to confer authorization grant <privilege list> on <relation name or view name> to <user list> <user list> is: a user-id public, which allows all valid users the privilege granted A role (more on this later) Granting a privilege on a view does not imply granting any privileges on the underlying relations. The grantor of the privilege must already hold the privilege on the specified item (or be the database administrator).
39.
©Silberschatz, Korth and
Sudarshan4.39Database System Concepts - 6th Edition Privileges in SQLPrivileges in SQL select: allows read access to relation,or the ability to query using the view Example: grant users U1, U2, and U3 select authorization on the instructor relation: grant select on instructor to U1, U2, U3 insert: the ability to insert tuples update: the ability to update using the SQL update statement delete: the ability to delete tuples. all privileges: used as a short form for all the allowable privileges
40.
©Silberschatz, Korth and
Sudarshan4.40Database System Concepts - 6th Edition Revoking Authorization in SQLRevoking Authorization in SQL The revoke statement is used to revoke authorization. revoke <privilege list> on <relation name or view name> from <user list> Example: revoke select on branch from U1, U2, U3 <privilege-list> may be all to revoke all privileges the revokee may hold. If <revokee-list> includes public, all users lose the privilege except those granted it explicitly. If the same privilege was granted twice to the same user by different grantees, the user may retain the privilege after the revocation. All privileges that depend on the privilege being revoked are also revoked.
41.
©Silberschatz, Korth and
Sudarshan4.41Database System Concepts - 6th Edition Roles create role instructor; grant instructor to Amit; Privileges can be granted to roles: grant select on takes to instructor; Roles can be granted to users, as well as to other roles create role teaching_assistant grant teaching_assistant to instructor; ïŽ Instructor inherits all privileges of teaching_assistant Chain of roles create role dean; grant instructor to dean; grant dean to Satoshi;
42.
©Silberschatz, Korth and
Sudarshan4.42Database System Concepts - 6th Edition Authorization on ViewsAuthorization on Views create view geo_instructor as (select * from instructor where dept_name = âGeologyâ); grant select on geo_instructor to geo_staff Suppose that a geo_staff member issues select * from geo_instructor; What if geo_staff does not have permissions on instructor? creator of view did not have some permissions on instructor?
43.
©Silberschatz, Korth and
Sudarshan4.43Database System Concepts - 6th Edition Other Authorization FeaturesOther Authorization Features references privilege to create foreign key grant reference (dept_name) on department to Mariano; why is this required? transfer of privileges grant select on department to Amit with grant option; revoke select on department from Amit, Satoshi cascade; revoke select on department from Amit, Satoshi restrict; Etc. read Section 4.6 for more details we have omitted here.
44.
Database System Concepts,
6th Ed. ©Silberschatz, Korth and Sudarshan See www.db-book.com for conditions on re-use End of Chapter 4End of Chapter 4
45.
©Silberschatz, Korth and
Sudarshan4.45Database System Concepts - 6th Edition Figure 4.01Figure 4.01
46.
©Silberschatz, Korth and
Sudarshan4.46Database System Concepts - 6th Edition Figure 4.02Figure 4.02
47.
©Silberschatz, Korth and
Sudarshan4.47Database System Concepts - 6th Edition Figure 4.03Figure 4.03
48.
©Silberschatz, Korth and
Sudarshan4.48Database System Concepts - 6th Edition Figure 4.04Figure 4.04
49.
©Silberschatz, Korth and
Sudarshan4.49Database System Concepts - 6th Edition Figure 4.05Figure 4.05
50.
©Silberschatz, Korth and
Sudarshan4.50Database System Concepts - 6th Edition Figure 4.07Figure 4.07 Taylor
51.
©Silberschatz, Korth and
Sudarshan4.51Database System Concepts - 6th Edition Figure 4.06Figure 4.06
52.
©Silberschatz, Korth and
Sudarshan4.52Database System Concepts - 6th Edition Figure 4.03Figure 4.03
Download now